# Copyright (C) 2017 Beijing Didi Infinity Technology and Development Co.,Ltd.
# All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================

import tensorflow as tf
import sys
import os

os.environ['CUDA_VISIBLE_DEVICES'] = ''

interpreter = tf.contrib.lite.Interpreter(model_path='./model.tflite')
input_details = interpreter.get_input_details()
output_details = interpreter.get_output_details()
print('Inputs', input_details)
print('Outputs', output_details)

#interpreter.resize_tensor_input(input_details[0]['index'], [2, 2000, 40, 3])

input_details = interpreter.get_input_details()
print('Inputs', input_details)
interpreter.allocate_tensors()
interpreter.invoke()
